{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 机器学习纳米学位\n",
    "## 非监督学习\n",
    "## 项目 3: 创建用户分类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "欢迎来到机器学习工程师纳米学位的第三个项目！在这个notebook文件中，有些模板代码已经提供给你，但你还需要实现更多的功能来完成这个项目。除非有明确要求，你无须修改任何已给出的代码。以**'练习'**开始的标题表示接下来的代码部分中有你必须要实现的功能。每一部分都会有详细的指导，需要实现的部分也会在注释中以**'TODO'**标出。请仔细阅读所有的提示！\n",
    "\n",
    "除了实现代码外，你还**必须**回答一些与项目和你的实现有关的问题。每一个需要你回答的问题都会以**'问题 X'**为标题。请仔细阅读每个问题，并且在问题后的**'回答'**文字框中写出完整的答案。我们将根据你对问题的回答和撰写代码所实现的功能来对你提交的项目进行评分。\n",
    "\n",
    ">**提示：**Code 和 Markdown 区域可通过 **Shift + Enter** 快捷键运行。此外，Markdown可以通过双击进入编辑模式。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 开始\n",
    "\n",
    "在这个项目中，你将分析一个数据集的内在结构，这个数据集包含很多客户真对不同类型产品的年度采购额（用**金额**表示）。这个项目的任务之一是如何最好地描述一个批发商不同种类顾客之间的差异。这样做将能够使得批发商能够更好的组织他们的物流服务以满足每个客户的需求。\n",
    "\n",
    "这个项目的数据集能够在[UCI机器学习信息库](https://archive.ics.uci.edu/ml/datasets/Wholesale+customers)中找到.因为这个项目的目的，分析将不会包括'Channel'和'Region'这两个特征——重点集中在6个记录的客户购买的产品类别上。\n",
    "\n",
    "运行下面的的代码单元以载入整个客户数据集和一些这个项目需要的Python库。如果你的数据集载入成功，你将看到后面输出数据集的大小。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 检查你的Python版本\n",
    "from sys import version_info\n",
    "if version_info.major != 2 and version_info.minor != 7:\n",
    "    raise Exception('请使用Python 2.7来完成此项目')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wholesale customers dataset has 440 samples with 6 features each.\n"
     ]
    }
   ],
   "source": [
    "# 引入这个项目需要的库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import visuals as vs\n",
    "from IPython.display import display # 使得我们可以对DataFrame使用display()函数\n",
    "\n",
    "# 设置以内联的形式显示matplotlib绘制的图片（在notebook中显示更美观）\n",
    "%matplotlib inline\n",
    "\n",
    "# 载入整个客户数据集\n",
    "try:\n",
    "    data = pd.read_csv(\"customers.csv\")\n",
    "    data.drop(['Region', 'Channel'], axis = 1, inplace = True)\n",
    "    print \"Wholesale customers dataset has {} samples with {} features each.\".format(*data.shape)\n",
    "except:\n",
    "    print \"Dataset could not be loaded. Is the dataset missing?\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析数据\n",
    "在这部分，你将开始分析数据，通过可视化和代码来理解每一个特征和其他特征的联系。你会看到关于数据集的统计描述，考虑每一个属性的相关性，然后从数据集中选择若干个样本数据点，你将在整个项目中一直跟踪研究这几个数据点。\n",
    "\n",
    "运行下面的代码单元给出数据集的一个统计描述。注意这个数据集包含了6个重要的产品类型：**'Fresh'**, **'Milk'**, **'Grocery'**, **'Frozen'**, **'Detergents_Paper'**和 **'Delicatessen'**。想一下这里每一个类型代表你会购买什么样的产品。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>440.000000</td>\n",
       "      <td>440.000000</td>\n",
       "      <td>440.000000</td>\n",
       "      <td>440.000000</td>\n",
       "      <td>440.000000</td>\n",
       "      <td>440.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12000.297727</td>\n",
       "      <td>5796.265909</td>\n",
       "      <td>7951.277273</td>\n",
       "      <td>3071.931818</td>\n",
       "      <td>2881.493182</td>\n",
       "      <td>1524.870455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12647.328865</td>\n",
       "      <td>7380.377175</td>\n",
       "      <td>9503.162829</td>\n",
       "      <td>4854.673333</td>\n",
       "      <td>4767.854448</td>\n",
       "      <td>2820.105937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3127.750000</td>\n",
       "      <td>1533.000000</td>\n",
       "      <td>2153.000000</td>\n",
       "      <td>742.250000</td>\n",
       "      <td>256.750000</td>\n",
       "      <td>408.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8504.000000</td>\n",
       "      <td>3627.000000</td>\n",
       "      <td>4755.500000</td>\n",
       "      <td>1526.000000</td>\n",
       "      <td>816.500000</td>\n",
       "      <td>965.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>16933.750000</td>\n",
       "      <td>7190.250000</td>\n",
       "      <td>10655.750000</td>\n",
       "      <td>3554.250000</td>\n",
       "      <td>3922.000000</td>\n",
       "      <td>1820.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>112151.000000</td>\n",
       "      <td>73498.000000</td>\n",
       "      <td>92780.000000</td>\n",
       "      <td>60869.000000</td>\n",
       "      <td>40827.000000</td>\n",
       "      <td>47943.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Fresh          Milk       Grocery        Frozen  \\\n",
       "count     440.000000    440.000000    440.000000    440.000000   \n",
       "mean    12000.297727   5796.265909   7951.277273   3071.931818   \n",
       "std     12647.328865   7380.377175   9503.162829   4854.673333   \n",
       "min         3.000000     55.000000      3.000000     25.000000   \n",
       "25%      3127.750000   1533.000000   2153.000000    742.250000   \n",
       "50%      8504.000000   3627.000000   4755.500000   1526.000000   \n",
       "75%     16933.750000   7190.250000  10655.750000   3554.250000   \n",
       "max    112151.000000  73498.000000  92780.000000  60869.000000   \n",
       "\n",
       "       Detergents_Paper  Delicatessen  \n",
       "count        440.000000    440.000000  \n",
       "mean        2881.493182   1524.870455  \n",
       "std         4767.854448   2820.105937  \n",
       "min            3.000000      3.000000  \n",
       "25%          256.750000    408.250000  \n",
       "50%          816.500000    965.500000  \n",
       "75%         3922.000000   1820.250000  \n",
       "max        40827.000000  47943.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 显示数据集的一个描述\n",
    "display(data.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 选择样本\n",
    "为了对客户有一个更好的了解，并且了解代表他们的数据将会在这个分析过程中如何变换。最好是选择几个样本数据点，并且更为详细地分析它们。在下面的代码单元中，选择**三个**索引加入到索引列表`indices`中，这三个索引代表你要追踪的客户。我们建议你不断尝试，直到找到三个明显不同的客户。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chosen samples of wholesale customers dataset:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11594</td>\n",
       "      <td>7779</td>\n",
       "      <td>12144</td>\n",
       "      <td>3252</td>\n",
       "      <td>8035</td>\n",
       "      <td>3029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16225</td>\n",
       "      <td>1825</td>\n",
       "      <td>1765</td>\n",
       "      <td>853</td>\n",
       "      <td>170</td>\n",
       "      <td>1067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3067</td>\n",
       "      <td>13240</td>\n",
       "      <td>23127</td>\n",
       "      <td>3941</td>\n",
       "      <td>9959</td>\n",
       "      <td>731</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Fresh   Milk  Grocery  Frozen  Detergents_Paper  Delicatessen\n",
       "0  11594   7779    12144    3252              8035          3029\n",
       "1  16225   1825     1765     853               170          1067\n",
       "2   3067  13240    23127    3941              9959           731"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO：从数据集中选择三个你希望抽样的数据点的索引\n",
    "indices = [100,150,200]\n",
    "\n",
    "# 为选择的样本建立一个DataFrame\n",
    "samples = pd.DataFrame(data.loc[indices], columns = data.keys()).reset_index(drop = True)\n",
    "print \"Chosen samples of wholesale customers dataset:\"\n",
    "display(samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 1\n",
    "*在你看来你选择的这三个样本点分别代表什么类型的企业（客户）？*对每一个你选择的样本客户，通过它在每一种产品类型上的花费与数据集的统计描述进行比较，给出你做上述判断的理由。\n",
    "\n",
    "\n",
    "**提示：** 企业的类型包括超市、咖啡馆、零售商以及其他。注意不要使用具体企业的名字，比如说在描述一个餐饮业客户时，你不能使用麦当劳。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "\n",
    "样本一：通过样本一数值与整体数据集比较，除Fresh略低于样本平均值mean外，其余feature需求量都高于平均值，且都高于3/4分位数，因此可以清楚知道给客户为综合型，最符合的就是超市类型的客户；\n",
    "\n",
    "样本二：样本二数据与整体数据集相比，Fresh值达到整体样本的3/4分位数，Delicatessen处于中位数水平，其他feature均低于均值，且处于1/4分位数以下，因此判断该客户以Fresh消耗为主，Delicatessen为辐，因此判断该客户属于餐饮类似客户；\n",
    "\n",
    "样本三：样本三很明显的可以看出Milk、Grocery、Detergents_Paper均为该客户的消耗主要商品，消耗量均高于整体样本的3/4分位数，相比下Fresh、Delicatessen低于整体样本的均值，因此判断该客户为零售商类型。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 特征相关性\n",
    "一个有趣的想法是，考虑这六个类别中的一个（或者多个）产品类别，是否对于理解客户的购买行为具有实际的相关性。也就是说，当用户购买了一定数量的某一类产品，我们是否能够确定他们必然会成比例地购买另一种类的产品。有一个简单的方法可以检测相关性：我们用移除了某一个特征之后的数据集来构建一个监督学习（回归）模型，然后用这个模型去预测那个被移除的特征，再对这个预测结果进行评分，看看预测结果如何。\n",
    "\n",
    "在下面的代码单元中，你需要实现以下的功能：\n",
    " - 使用`DataFrame.drop`函数移除数据集中你选择的不需要的特征，并将移除后的结果赋值给`new_data`。\n",
    " - 使用`sklearn.model_selection.train_test_split`将数据集分割成训练集和测试集。\n",
    "   - 使用移除的特征作为你的目标标签。设置`test_size`为`0.25`并设置一个`random_state`。\n",
    " - 导入一个DecisionTreeRegressor（决策树回归器），设置一个`random_state`，然后用训练集训练它。\n",
    " - 使用回归器的`score`函数输出模型在测试集上的预测得分。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "# TODO：为DataFrame创建一个副本，用'drop'函数丢弃一个特征\n",
    "label = data.loc[:, ['Delicatessen']]\n",
    "new_data = data.drop(['Delicatessen'], axis=1)\n",
    "\n",
    "# TODO：使用给定的特征作为目标，将数据分割成训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(new_data,label,test_size=0.25,random_state=42)\n",
    "\n",
    "# TODO：创建一个DecisionTreeRegressor（决策树回归器）并在训练集上训练它\n",
    "regressor = DecisionTreeRegressor(random_state=10)\n",
    "regressor.fit(X_train, y_train)\n",
    "\n",
    "# TODO：输出在测试集上的预测得分\n",
    "score = regressor.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The score is -3.0234929715 in testing dataset\n"
     ]
    }
   ],
   "source": [
    "print \"The score is {} in testing dataset\".format(score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 2\n",
    "*你尝试预测哪一个特征？预测的得分是多少？这个特征对于区分用户的消费习惯来说必要吗？为什么？*  \n",
    "**提示：** 决定系数（coefficient of determination）, `R^2`,结果在0到1之间，1表示完美拟合，一个负的`R^2`表示模型不能够拟合数据。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "本次尝试预测的特征为Delicatessen，预测的得分为-3.023，代表Delicatessen无法通过其他特征进行表示，因此代表该特征对于区分用户的消费习惯是必要的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可视化特征分布\n",
    "为了能够对这个数据集有一个更好的理解，我们可以对数据集中的每一个产品特征构建一个散布矩阵（scatter matrix）。如果你发现你在上面尝试预测的特征对于区分一个特定的用户来说是必须的，那么这个特征和其它的特征可能不会在下面的散射矩阵中显示任何关系。相反的，如果你认为这个特征对于识别一个特定的客户是没有作用的，那么通过散布矩阵可以看出在这个数据特征和其它特征中有关联性。运行下面的代码以创建一个散布矩阵。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa12f898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对于数据中的每一对特征构造一个散布矩阵\n",
    "pd.plotting.scatter_matrix(data, alpha = 0.3, figsize = (14,8), diagonal = 'kde');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 3\n",
    "*这里是否存在一些特征他们彼此之间存在一定程度相关性？如果有请列出。这个结果是验证了还是否认了你尝试预测的那个特征的相关性？这些特征的数据是怎么分布的？*\n",
    "\n",
    "**提示：** 这些数据是正态分布(normally distributed)的吗？大多数的数据点分布在哪？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "从散布矩阵图形我们可以较明显看出Detergents_Paper，Milk，Grocery之间存在正相关的关系；而从图像看Delicatessen与其他特征之间并没有明显的相关性，与之前的模型结果吻合；这些特征均呈现正偏态分布，数据主要集中在均值的右侧。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据预处理\n",
    "在这个部分，你将通过在数据上做一个合适的缩放，并检测异常点（你可以选择性移除）将数据预处理成一个更好的代表客户的形式。预处理数据是保证你在分析中能够得到显著且有意义的结果的重要环节。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 特征缩放\n",
    "如果数据不是正态分布的，尤其是数据的平均数和中位数相差很大的时候（表示数据非常歪斜）。这时候通常用一个非线性的缩放是[很合适的](https://github.com/czcbangkai/translations/blob/master/use_of_logarithms_in_economics/use_of_logarithms_in_economics.pdf)，[（英文原文）](http://econbrowser.com/archives/2014/02/use-of-logarithms-in-economics) — 尤其是对于金融数据。一种实现这个缩放的方法是使用[Box-Cox 变换](http://scipy.github.io/devdocs/generated/scipy.stats.boxcox.html)，这个方法能够计算出能够最佳减小数据倾斜的指数变换方法。一个比较简单的并且在大多数情况下都适用的方法是使用自然对数。\n",
    "\n",
    "在下面的代码单元中，你将需要实现以下功能：\n",
    " - 使用`np.log`函数在数据 `data` 上做一个对数缩放，然后将它的副本（不改变原始data的值）赋值给`log_data`。\n",
    " - 使用`np.log`函数在样本数据 `samples` 上做一个对数缩放，然后将它的副本赋值给`log_samples`。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xedc2908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO：使用自然对数缩放数据\n",
    "log_data = np.log(data)\n",
    "\n",
    "# TODO：使用自然对数缩放样本数据\n",
    "log_samples = np.log(samples)\n",
    "\n",
    "# 为每一对新产生的特征制作一个散射矩阵\n",
    "pd.plotting.scatter_matrix(log_data, alpha = 0.3, figsize = (14,8), diagonal = 'kde');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 观察\n",
    "在使用了一个自然对数的缩放之后，数据的各个特征会显得更加的正态分布。对于任意的你以前发现有相关关系的特征对，观察他们的相关关系是否还是存在的（并且尝试观察，他们的相关关系相比原来是变强了还是变弱了）。\n",
    "\n",
    "运行下面的代码以观察样本数据在进行了自然对数转换之后如何改变了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9.358243</td>\n",
       "      <td>8.959183</td>\n",
       "      <td>9.404590</td>\n",
       "      <td>8.087025</td>\n",
       "      <td>8.991562</td>\n",
       "      <td>8.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.694309</td>\n",
       "      <td>7.509335</td>\n",
       "      <td>7.475906</td>\n",
       "      <td>6.748760</td>\n",
       "      <td>5.135798</td>\n",
       "      <td>6.972606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8.028455</td>\n",
       "      <td>9.490998</td>\n",
       "      <td>10.048756</td>\n",
       "      <td>8.279190</td>\n",
       "      <td>9.206232</td>\n",
       "      <td>6.594413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Fresh      Milk    Grocery    Frozen  Detergents_Paper  Delicatessen\n",
       "0  9.358243  8.959183   9.404590  8.087025          8.991562      8.015988\n",
       "1  9.694309  7.509335   7.475906  6.748760          5.135798      6.972606\n",
       "2  8.028455  9.490998  10.048756  8.279190          9.206232      6.594413"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 展示经过对数变换后的样本数据\n",
    "display(log_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 异常值检测\n",
    "对于任何的分析，在数据预处理的过程中检测数据中的异常值都是非常重要的一步。异常值的出现会使得把这些值考虑进去后结果出现倾斜。这里有很多关于怎样定义什么是数据集中的异常值的经验法则。这里我们将使用[Tukey的定义异常值的方法](http://datapigtechnologies.com/blog/index.php/highlighting-outliers-in-your-data-with-the-tukey-method/)：一个*异常阶（outlier step）*被定义成1.5倍的四分位距（interquartile range，IQR）。一个数据点如果某个特征包含在该特征的IQR之外的特征，那么该数据点被认定为异常点。\n",
    "\n",
    "在下面的代码单元中，你需要完成下面的功能：\n",
    " - 将指定特征的25th分位点的值分配给`Q1`。使用`np.percentile`来完成这个功能。\n",
    " - 将指定特征的75th分位点的值分配给`Q3`。同样的，使用`np.percentile`来完成这个功能。\n",
    " - 将指定特征的异常阶的计算结果赋值给`step`.\n",
    " - 选择性地通过将索引添加到`outliers`列表中，以移除异常值。\n",
    "\n",
    "**注意：** 如果你选择移除异常值，请保证你选择的样本点不在这些移除的点当中！\n",
    "一旦你完成了这些功能，数据集将存储在`good_data`中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Fresh':\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>4.442651</td>\n",
       "      <td>9.950323</td>\n",
       "      <td>10.732651</td>\n",
       "      <td>3.583519</td>\n",
       "      <td>10.095388</td>\n",
       "      <td>7.260523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2.197225</td>\n",
       "      <td>7.335634</td>\n",
       "      <td>8.911530</td>\n",
       "      <td>5.164786</td>\n",
       "      <td>8.151333</td>\n",
       "      <td>3.295837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.389072</td>\n",
       "      <td>9.163249</td>\n",
       "      <td>9.575192</td>\n",
       "      <td>5.645447</td>\n",
       "      <td>8.964184</td>\n",
       "      <td>5.049856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1.098612</td>\n",
       "      <td>7.979339</td>\n",
       "      <td>8.740657</td>\n",
       "      <td>6.086775</td>\n",
       "      <td>5.407172</td>\n",
       "      <td>6.563856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>3.135494</td>\n",
       "      <td>7.869402</td>\n",
       "      <td>9.001839</td>\n",
       "      <td>4.976734</td>\n",
       "      <td>8.262043</td>\n",
       "      <td>5.379897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>4.941642</td>\n",
       "      <td>9.087834</td>\n",
       "      <td>8.248791</td>\n",
       "      <td>4.955827</td>\n",
       "      <td>6.967909</td>\n",
       "      <td>1.098612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>5.298317</td>\n",
       "      <td>10.160530</td>\n",
       "      <td>9.894245</td>\n",
       "      <td>6.478510</td>\n",
       "      <td>9.079434</td>\n",
       "      <td>8.740337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>5.192957</td>\n",
       "      <td>8.156223</td>\n",
       "      <td>9.917982</td>\n",
       "      <td>6.865891</td>\n",
       "      <td>8.633731</td>\n",
       "      <td>6.501290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2.890372</td>\n",
       "      <td>8.923191</td>\n",
       "      <td>9.629380</td>\n",
       "      <td>7.158514</td>\n",
       "      <td>8.475746</td>\n",
       "      <td>8.759669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>5.081404</td>\n",
       "      <td>8.917311</td>\n",
       "      <td>10.117510</td>\n",
       "      <td>6.424869</td>\n",
       "      <td>9.374413</td>\n",
       "      <td>7.787382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>5.493061</td>\n",
       "      <td>9.468001</td>\n",
       "      <td>9.088399</td>\n",
       "      <td>6.683361</td>\n",
       "      <td>8.271037</td>\n",
       "      <td>5.351858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>1.098612</td>\n",
       "      <td>5.808142</td>\n",
       "      <td>8.856661</td>\n",
       "      <td>9.655090</td>\n",
       "      <td>2.708050</td>\n",
       "      <td>6.309918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>4.762174</td>\n",
       "      <td>8.742574</td>\n",
       "      <td>9.961898</td>\n",
       "      <td>5.429346</td>\n",
       "      <td>9.069007</td>\n",
       "      <td>7.013016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>5.247024</td>\n",
       "      <td>6.588926</td>\n",
       "      <td>7.606885</td>\n",
       "      <td>5.501258</td>\n",
       "      <td>5.214936</td>\n",
       "      <td>4.844187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>3.610918</td>\n",
       "      <td>7.150701</td>\n",
       "      <td>10.011086</td>\n",
       "      <td>4.919981</td>\n",
       "      <td>8.816853</td>\n",
       "      <td>4.700480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>4.574711</td>\n",
       "      <td>8.190077</td>\n",
       "      <td>9.425452</td>\n",
       "      <td>4.584967</td>\n",
       "      <td>7.996317</td>\n",
       "      <td>4.127134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Fresh       Milk    Grocery    Frozen  Detergents_Paper  Delicatessen\n",
       "65   4.442651   9.950323  10.732651  3.583519         10.095388      7.260523\n",
       "66   2.197225   7.335634   8.911530  5.164786          8.151333      3.295837\n",
       "81   5.389072   9.163249   9.575192  5.645447          8.964184      5.049856\n",
       "95   1.098612   7.979339   8.740657  6.086775          5.407172      6.563856\n",
       "96   3.135494   7.869402   9.001839  4.976734          8.262043      5.379897\n",
       "128  4.941642   9.087834   8.248791  4.955827          6.967909      1.098612\n",
       "171  5.298317  10.160530   9.894245  6.478510          9.079434      8.740337\n",
       "193  5.192957   8.156223   9.917982  6.865891          8.633731      6.501290\n",
       "218  2.890372   8.923191   9.629380  7.158514          8.475746      8.759669\n",
       "304  5.081404   8.917311  10.117510  6.424869          9.374413      7.787382\n",
       "305  5.493061   9.468001   9.088399  6.683361          8.271037      5.351858\n",
       "338  1.098612   5.808142   8.856661  9.655090          2.708050      6.309918\n",
       "353  4.762174   8.742574   9.961898  5.429346          9.069007      7.013016\n",
       "355  5.247024   6.588926   7.606885  5.501258          5.214936      4.844187\n",
       "357  3.610918   7.150701  10.011086  4.919981          8.816853      4.700480\n",
       "412  4.574711   8.190077   9.425452  4.584967          7.996317      4.127134"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Milk':\n"
     ]
    },
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>10.039983</td>\n",
       "      <td>11.205013</td>\n",
       "      <td>10.377047</td>\n",
       "      <td>6.894670</td>\n",
       "      <td>9.906981</td>\n",
       "      <td>6.805723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>6.220590</td>\n",
       "      <td>4.718499</td>\n",
       "      <td>6.656727</td>\n",
       "      <td>6.796824</td>\n",
       "      <td>4.025352</td>\n",
       "      <td>4.882802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>6.432940</td>\n",
       "      <td>4.007333</td>\n",
       "      <td>4.919981</td>\n",
       "      <td>4.317488</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>2.079442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>10.029503</td>\n",
       "      <td>4.897840</td>\n",
       "      <td>5.384495</td>\n",
       "      <td>8.057377</td>\n",
       "      <td>2.197225</td>\n",
       "      <td>6.306275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "         Fresh       Milk    Grocery    Frozen  Detergents_Paper  Delicatessen\n",
       "86   10.039983  11.205013  10.377047  6.894670          9.906981      6.805723\n",
       "98    6.220590   4.718499   6.656727  6.796824          4.025352      4.882802\n",
       "154   6.432940   4.007333   4.919981  4.317488          1.945910      2.079442\n",
       "356  10.029503   4.897840   5.384495  8.057377          2.197225      6.306275"
      ]
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Grocery':\n"
     ]
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       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>9.923192</td>\n",
       "      <td>7.036148</td>\n",
       "      <td>1.098612</td>\n",
       "      <td>8.390949</td>\n",
       "      <td>1.098612</td>\n",
       "      <td>6.882437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>6.432940</td>\n",
       "      <td>4.007333</td>\n",
       "      <td>4.919981</td>\n",
       "      <td>4.317488</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>2.079442</td>\n",
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       "        Fresh      Milk   Grocery    Frozen  Detergents_Paper  Delicatessen\n",
       "75   9.923192  7.036148  1.098612  8.390949          1.098612      6.882437\n",
       "154  6.432940  4.007333  4.919981  4.317488          1.945910      2.079442"
      ]
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Frozen':\n"
     ]
    },
    {
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       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>8.431853</td>\n",
       "      <td>9.663261</td>\n",
       "      <td>9.723703</td>\n",
       "      <td>3.496508</td>\n",
       "      <td>8.847360</td>\n",
       "      <td>6.070738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>8.597297</td>\n",
       "      <td>9.203618</td>\n",
       "      <td>9.257892</td>\n",
       "      <td>3.637586</td>\n",
       "      <td>8.932213</td>\n",
       "      <td>7.156177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>4.442651</td>\n",
       "      <td>9.950323</td>\n",
       "      <td>10.732651</td>\n",
       "      <td>3.583519</td>\n",
       "      <td>10.095388</td>\n",
       "      <td>7.260523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>10.000569</td>\n",
       "      <td>9.034080</td>\n",
       "      <td>10.457143</td>\n",
       "      <td>3.737670</td>\n",
       "      <td>9.440738</td>\n",
       "      <td>8.396155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>7.759187</td>\n",
       "      <td>8.967632</td>\n",
       "      <td>9.382106</td>\n",
       "      <td>3.951244</td>\n",
       "      <td>8.341887</td>\n",
       "      <td>7.436617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>6.978214</td>\n",
       "      <td>9.177714</td>\n",
       "      <td>9.645041</td>\n",
       "      <td>4.110874</td>\n",
       "      <td>8.696176</td>\n",
       "      <td>7.142827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>10.395650</td>\n",
       "      <td>9.728181</td>\n",
       "      <td>9.519735</td>\n",
       "      <td>11.016479</td>\n",
       "      <td>7.148346</td>\n",
       "      <td>8.632128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>8.402007</td>\n",
       "      <td>8.569026</td>\n",
       "      <td>9.490015</td>\n",
       "      <td>3.218876</td>\n",
       "      <td>8.827321</td>\n",
       "      <td>7.239215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>9.060331</td>\n",
       "      <td>7.467371</td>\n",
       "      <td>8.183118</td>\n",
       "      <td>3.850148</td>\n",
       "      <td>4.430817</td>\n",
       "      <td>7.824446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>7.932721</td>\n",
       "      <td>7.437206</td>\n",
       "      <td>7.828038</td>\n",
       "      <td>4.174387</td>\n",
       "      <td>6.167516</td>\n",
       "      <td>3.951244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         Fresh      Milk    Grocery     Frozen  Detergents_Paper  Delicatessen\n",
       "38    8.431853  9.663261   9.723703   3.496508          8.847360      6.070738\n",
       "57    8.597297  9.203618   9.257892   3.637586          8.932213      7.156177\n",
       "65    4.442651  9.950323  10.732651   3.583519         10.095388      7.260523\n",
       "145  10.000569  9.034080  10.457143   3.737670          9.440738      8.396155\n",
       "175   7.759187  8.967632   9.382106   3.951244          8.341887      7.436617\n",
       "264   6.978214  9.177714   9.645041   4.110874          8.696176      7.142827\n",
       "325  10.395650  9.728181   9.519735  11.016479          7.148346      8.632128\n",
       "420   8.402007  8.569026   9.490015   3.218876          8.827321      7.239215\n",
       "429   9.060331  7.467371   8.183118   3.850148          4.430817      7.824446\n",
       "439   7.932721  7.437206   7.828038   4.174387          6.167516      3.951244"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Detergents_Paper':\n"
     ]
    },
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>9.923192</td>\n",
       "      <td>7.036148</td>\n",
       "      <td>1.098612</td>\n",
       "      <td>8.390949</td>\n",
       "      <td>1.098612</td>\n",
       "      <td>6.882437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>9.428190</td>\n",
       "      <td>6.291569</td>\n",
       "      <td>5.645447</td>\n",
       "      <td>6.995766</td>\n",
       "      <td>1.098612</td>\n",
       "      <td>7.711101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Fresh      Milk   Grocery    Frozen  Detergents_Paper  Delicatessen\n",
       "75   9.923192  7.036148  1.098612  8.390949          1.098612      6.882437\n",
       "161  9.428190  6.291569  5.645447  6.995766          1.098612      7.711101"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data points considered outliers for the feature 'Delicatessen':\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2.197225</td>\n",
       "      <td>7.335634</td>\n",
       "      <td>8.911530</td>\n",
       "      <td>5.164786</td>\n",
       "      <td>8.151333</td>\n",
       "      <td>3.295837</td>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.248504</td>\n",
       "      <td>9.724899</td>\n",
       "      <td>10.274568</td>\n",
       "      <td>6.511745</td>\n",
       "      <td>6.728629</td>\n",
       "      <td>1.098612</td>\n",
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       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>4.941642</td>\n",
       "      <td>9.087834</td>\n",
       "      <td>8.248791</td>\n",
       "      <td>4.955827</td>\n",
       "      <td>6.967909</td>\n",
       "      <td>1.098612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>8.034955</td>\n",
       "      <td>8.997147</td>\n",
       "      <td>9.021840</td>\n",
       "      <td>6.493754</td>\n",
       "      <td>6.580639</td>\n",
       "      <td>3.583519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>10.519646</td>\n",
       "      <td>8.875147</td>\n",
       "      <td>9.018332</td>\n",
       "      <td>8.004700</td>\n",
       "      <td>2.995732</td>\n",
       "      <td>1.098612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>6.432940</td>\n",
       "      <td>4.007333</td>\n",
       "      <td>4.919981</td>\n",
       "      <td>4.317488</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>2.079442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>10.514529</td>\n",
       "      <td>10.690808</td>\n",
       "      <td>9.911952</td>\n",
       "      <td>10.505999</td>\n",
       "      <td>5.476464</td>\n",
       "      <td>10.777768</td>\n",
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       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>5.789960</td>\n",
       "      <td>6.822197</td>\n",
       "      <td>8.457443</td>\n",
       "      <td>4.304065</td>\n",
       "      <td>5.811141</td>\n",
       "      <td>2.397895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>7.798933</td>\n",
       "      <td>8.987447</td>\n",
       "      <td>9.192075</td>\n",
       "      <td>8.743372</td>\n",
       "      <td>8.148735</td>\n",
       "      <td>1.098612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>6.368187</td>\n",
       "      <td>6.529419</td>\n",
       "      <td>7.703459</td>\n",
       "      <td>6.150603</td>\n",
       "      <td>6.860664</td>\n",
       "      <td>2.890372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>6.871091</td>\n",
       "      <td>8.513988</td>\n",
       "      <td>8.106515</td>\n",
       "      <td>6.842683</td>\n",
       "      <td>6.013715</td>\n",
       "      <td>1.945910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>10.602965</td>\n",
       "      <td>6.461468</td>\n",
       "      <td>8.188689</td>\n",
       "      <td>6.948897</td>\n",
       "      <td>6.077642</td>\n",
       "      <td>2.890372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>10.663966</td>\n",
       "      <td>5.655992</td>\n",
       "      <td>6.154858</td>\n",
       "      <td>7.235619</td>\n",
       "      <td>3.465736</td>\n",
       "      <td>3.091042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>7.431892</td>\n",
       "      <td>8.848509</td>\n",
       "      <td>10.177932</td>\n",
       "      <td>7.283448</td>\n",
       "      <td>9.646593</td>\n",
       "      <td>3.610918</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "         Fresh       Milk    Grocery     Frozen  Detergents_Paper  \\\n",
       "66    2.197225   7.335634   8.911530   5.164786          8.151333   \n",
       "109   7.248504   9.724899  10.274568   6.511745          6.728629   \n",
       "128   4.941642   9.087834   8.248791   4.955827          6.967909   \n",
       "137   8.034955   8.997147   9.021840   6.493754          6.580639   \n",
       "142  10.519646   8.875147   9.018332   8.004700          2.995732   \n",
       "154   6.432940   4.007333   4.919981   4.317488          1.945910   \n",
       "183  10.514529  10.690808   9.911952  10.505999          5.476464   \n",
       "184   5.789960   6.822197   8.457443   4.304065          5.811141   \n",
       "187   7.798933   8.987447   9.192075   8.743372          8.148735   \n",
       "203   6.368187   6.529419   7.703459   6.150603          6.860664   \n",
       "233   6.871091   8.513988   8.106515   6.842683          6.013715   \n",
       "285  10.602965   6.461468   8.188689   6.948897          6.077642   \n",
       "289  10.663966   5.655992   6.154858   7.235619          3.465736   \n",
       "343   7.431892   8.848509  10.177932   7.283448          9.646593   \n",
       "\n",
       "     Delicatessen  \n",
       "66       3.295837  \n",
       "109      1.098612  \n",
       "128      1.098612  \n",
       "137      3.583519  \n",
       "142      1.098612  \n",
       "154      2.079442  \n",
       "183     10.777768  \n",
       "184      2.397895  \n",
       "187      1.098612  \n",
       "203      2.890372  \n",
       "233      1.945910  \n",
       "285      2.890372  \n",
       "289      3.091042  \n",
       "343      3.610918  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对于每一个特征，找到值异常高或者是异常低的数据点\n",
    "for feature in log_data.keys():\n",
    "    \n",
    "    # TODO：计算给定特征的Q1（数据的25th分位点）\n",
    "    Q1 = np.percentile(log_data[feature], 25)\n",
    "    \n",
    "    # TODO：计算给定特征的Q3（数据的75th分位点）\n",
    "    Q3 = np.percentile(log_data[feature], 75)\n",
    "    \n",
    "    # TODO：使用四分位范围计算异常阶（1.5倍的四分位距）\n",
    "    step = 1.5 * (Q3 - Q1)\n",
    "    \n",
    "    # 显示异常点\n",
    "    print \"Data points considered outliers for the feature '{}':\".format(feature)\n",
    "    display(log_data[~((log_data[feature] >= Q1 - step) & (log_data[feature] <= Q3 + step))])\n",
    "    \n",
    "# 可选：选择你希望移除的数据点的索引\n",
    "outliers  = [65,66,75,128,154]\n",
    "\n",
    "\n",
    "# 如果选择了的话，移除异常点\n",
    "good_data = log_data.drop(log_data.index[outliers]).reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 4\n",
    "*请列出所有在多于一个特征下被看作是异常的数据点。这些点应该被从数据集中移除吗？为什么？把你认为需要移除的数据点全部加入到到`outliers`变量中。* "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "多于一个特征下被看作是异常的数据点为[65,66,75,128,154],这些点至少有两个特征下被识别为异常数据点，而只有一个特征高于IQR的上限，有可能为该客户销售状况比较单一，此类样本也可能属于特征分类的一种，不应该作为异常点剔除。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征转换\n",
    "在这个部分中你将使用主成分分析（PCA）来分析批发商客户数据的内在结构。由于使用PCA在一个数据集上会计算出最大化方差的维度，我们将找出哪一个特征组合能够最好的描绘客户。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 主成分分析（PCA）\n",
    "\n",
    "既然数据被缩放到一个更加正态分布的范围中并且我们也移除了需要移除的异常点，我们现在就能够在`good_data`上使用PCA算法以发现数据的哪一个维度能够最大化特征的方差。除了找到这些维度，PCA也将报告每一个维度的*解释方差比（explained variance ratio）*--这个数据有多少方差能够用这个单独的维度来解释。注意PCA的一个组成部分（维度）能够被看做这个空间中的一个新的“特征”，但是它是原来数据中的特征构成的。\n",
    "\n",
    "在下面的代码单元中，你将要实现下面的功能：\n",
    " - 导入`sklearn.decomposition.PCA`并且将`good_data`用PCA并且使用6个维度进行拟合后的结果保存到`pca`中。\n",
    " - 使用`pca.transform`将`log_samples`进行转换，并将结果存储到`pca_samples`中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc769b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "# TODO：通过在good_data上使用PCA，将其转换成和当前特征数一样多的维度\n",
    "pca = PCA(n_components=6)\n",
    "pca.fit(good_data)\n",
    "\n",
    "# TODO：使用上面的PCA拟合将变换施加在log_samples上\n",
    "pca_samples = pca.transform(log_samples)\n",
    "\n",
    "# 生成PCA的结果图\n",
    "pca_results = vs.pca_results(good_data, pca)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 5\n",
    "*数据的第一个和第二个主成分* **总共** *表示了多少的方差？*  前四个主成分呢？使用上面提供的可视化图像，讨论从用户花费的角度来看前四个**主要成分**的消费行为最能代表哪种类型的客户并给出你做出判断的理由。\n",
    "\n",
    "**提示：** 某一特定维度上的正向增长对应**正权**特征的**增长**和**负权**特征的**减少**。增长和减少的速率和每个特征的权重相关。[参考资料(英文)](https://onlinecourses.science.psu.edu/stat505/node/54)。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "第一个和第二个主成分总共表示了0.7068的方差，前四个主成分表示了0.9311的方差。第一个主成分Milk、Grocery、Detergents_Paper占据较高的负权重，该消费行为最贴近零售商；第二个主成分中原维度Fresh、Frozen、Delicatesseen占据了绝大部分的权重，该消费行为贴近餐饮类客户；第三个主成分Frozen、Delicatessen占据绝大部分正权，而Fresh、Detergents_Paper主要呈现负权影响，且正权以Delicatessen为煮，负权以Fresh为主，该消费行为比较符合超市类客户。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 观察\n",
    "运行下面的代码，查看经过对数转换的样本数据在进行一个6个维度的主成分分析（PCA）之后会如何改变。观察样本数据的前四个维度的数值。考虑这和你初始对样本点的解释是否一致。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dimension 1</th>\n",
       "      <th>Dimension 2</th>\n",
       "      <th>Dimension 3</th>\n",
       "      <th>Dimension 4</th>\n",
       "      <th>Dimension 5</th>\n",
       "      <th>Dimension 6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.3579</td>\n",
       "      <td>-1.7393</td>\n",
       "      <td>0.2210</td>\n",
       "      <td>0.2840</td>\n",
       "      <td>-0.5939</td>\n",
       "      <td>-0.0148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.9406</td>\n",
       "      <td>-0.2418</td>\n",
       "      <td>-0.2884</td>\n",
       "      <td>-1.2041</td>\n",
       "      <td>0.0917</td>\n",
       "      <td>-0.1492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-2.9903</td>\n",
       "      <td>-0.3645</td>\n",
       "      <td>0.2521</td>\n",
       "      <td>1.5653</td>\n",
       "      <td>0.1922</td>\n",
       "      <td>0.1244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Dimension 1  Dimension 2  Dimension 3  Dimension 4  Dimension 5  \\\n",
       "0      -2.3579      -1.7393       0.2210       0.2840      -0.5939   \n",
       "1       1.9406      -0.2418      -0.2884      -1.2041       0.0917   \n",
       "2      -2.9903      -0.3645       0.2521       1.5653       0.1922   \n",
       "\n",
       "   Dimension 6  \n",
       "0      -0.0148  \n",
       "1      -0.1492  \n",
       "2       0.1244  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 展示经过PCA转换的sample log-data\n",
    "display(pd.DataFrame(np.round(pca_samples, 4), columns = pca_results.index.values))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习：降维\n",
    "当使用主成分分析的时候，一个主要的目的是减少数据的维度，这实际上降低了问题的复杂度。当然降维也是需要一定代价的：更少的维度能够表示的数据中的总方差更少。因为这个，*累计解释方差比（cumulative explained variance ratio）*对于我们确定这个问题需要多少维度非常重要。另外，如果大部分的方差都能够通过两个或者是三个维度进行表示的话，降维之后的数据能够被可视化。\n",
    "\n",
    "在下面的代码单元中，你将实现下面的功能：\n",
    " - 将`good_data`用两个维度的PCA进行拟合，并将结果存储到`pca`中去。\n",
    " - 使用`pca.transform`将`good_data`进行转换，并将结果存储在`reduced_data`中。\n",
    " - 使用`pca.transform`将`log_samples`进行转换，并将结果存储在`pca_samples`中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO：通过在good data上进行PCA，将其转换成两个维度\n",
    "pca = PCA(n_components=2).fit(good_data)\n",
    "\n",
    "# TODO：使用上面训练的PCA将good data进行转换\n",
    "reduced_data = pca.transform(good_data)\n",
    "\n",
    "# TODO：使用上面训练的PCA将log_samples进行转换\n",
    "pca_samples = pca.transform(log_samples)\n",
    "\n",
    "# 为降维后的数据创建一个DataFrame\n",
    "reduced_data = pd.DataFrame(reduced_data, columns = ['Dimension 1', 'Dimension 2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 观察\n",
    "运行以下代码观察当仅仅使用两个维度进行PCA转换后，这个对数样本数据将怎样变化。观察这里的结果与一个使用六个维度的PCA转换相比较时，前两维的数值是保持不变的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dimension 1</th>\n",
       "      <th>Dimension 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.3579</td>\n",
       "      <td>-1.7393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.9406</td>\n",
       "      <td>-0.2418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-2.9903</td>\n",
       "      <td>-0.3645</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Dimension 1  Dimension 2\n",
       "0      -2.3579      -1.7393\n",
       "1       1.9406      -0.2418\n",
       "2      -2.9903      -0.3645"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 展示经过两个维度的PCA转换之后的样本log-data\n",
    "display(pd.DataFrame(np.round(pca_samples, 4), columns = ['Dimension 1', 'Dimension 2']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 可视化一个双标图（Biplot）\n",
    "双标图是一个散点图，每个数据点的位置由它所在主成分的分数确定。坐标系是主成分（这里是`Dimension 1` 和 `Dimension 2`）。此外，双标图还展示出初始特征在主成分上的投影。一个双标图可以帮助我们理解降维后的数据，发现主成分和初始特征之间的关系。\n",
    "\n",
    "运行下面的代码来创建一个降维后数据的双标图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc769ac8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xec9d0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a biplot\n",
    "vs.biplot(good_data, reduced_data, pca)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 观察\n",
    "\n",
    "一旦我们有了原始特征的投影（红色箭头），就能更加容易的理解散点图每个数据点的相对位置。\n",
    "\n",
    "在这个双标图中，哪些初始特征与第一个主成分有强关联？哪些初始特征与第二个主成分相关联？你观察到的是否与之前得到的 pca_results 图相符？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 聚类\n",
    "\n",
    "在这个部分，你讲选择使用K-Means聚类算法或者是高斯混合模型聚类算法以发现数据中隐藏的客户分类。然后，你将从簇中恢复一些特定的关键数据点，通过将它们转换回原始的维度和规模，从而理解他们的含义。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 6\n",
    "*使用K-Means聚类算法的优点是什么？使用高斯混合模型聚类算法的优点是什么？基于你现在对客户数据的观察结果，你选用了这两个算法中的哪一个，为什么？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "K-means聚类算法的优点在于简单、快速，同时处理大数据集的情况下，算法保持可伸缩性和高效性，通过比较样本点相对中心点距离进行聚类划分，属于硬聚类；高斯混合模型聚类算法引进了概率逻辑，可以得出基于不同分类的概率，通过比较不同分类的概率，将该样本划分到概率最高的聚类，此类聚类方式属于软聚类。针对该客户类型，所有特征属性对于距离的影响都是相同的，未设置不同权重，且只需要将客户归到对应的簇类即可，无需得出样本对不同聚类的期望，因此K-means算法更为适用。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 创建聚类\n",
    "\n",
    "针对不同情况，有些问题你需要的聚类数目可能是已知的。但是在聚类数目不作为一个**先验**知道的情况下，我们并不能够保证某个聚类的数目对这个数据是最优的，因为我们对于数据的结构（如果存在的话）是不清楚的。但是，我们可以通过计算每一个簇中点的**轮廓系数**来衡量聚类的质量。数据点的[轮廓系数](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html)衡量了它与分配给他的簇的相似度，这个值范围在-1（不相似）到1（相似）。**平均**轮廓系数为我们提供了一种简单地度量聚类质量的方法。\n",
    "\n",
    "在接下来的代码单元中，你将实现下列功能：\n",
    " - 在`reduced_data`上使用一个聚类算法，并将结果赋值到`clusterer`，需要设置 `random_state` 使得结果可以复现。\n",
    " - 使用`clusterer.predict`预测`reduced_data`中的每一个点的簇，并将结果赋值到`preds`。\n",
    " - 使用算法的某个属性值找到聚类中心，并将它们赋值到`centers`。\n",
    " - 预测`pca_samples`中的每一个样本点的类别并将结果赋值到`sample_preds`。\n",
    " - 导入sklearn.metrics.silhouette_score包并计算`reduced_data`相对于`preds`的轮廓系数。\n",
    "   - 将轮廓系数赋值给`score`并输出结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the mean silhouette coefficient is 0.426281015469 when n_clusters is 2\n"
     ]
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "from sklearn.metrics import silhouette_score\n",
    "n_cluster = 2\n",
    "# TODO：在降维后的数据上使用你选择的聚类算法\n",
    "clusterer = KMeans(n_clusters=n_cluster, random_state=0).fit(reduced_data)\n",
    "\n",
    "# TODO：预测每一个点的簇\n",
    "preds = clusterer.predict(reduced_data)\n",
    "\n",
    "# TODO：找到聚类中心\n",
    "centers = clusterer.cluster_centers_\n",
    "\n",
    "# TODO：预测在每一个转换后的样本点的类\n",
    "sample_preds = clusterer.predict(pca_samples)\n",
    "    \n",
    "# TODO：计算选择的类别的平均轮廓系数（mean silhouette coefficient）\n",
    "score = silhouette_score(reduced_data, preds)\n",
    "print \"the mean silhouette coefficient is {} when n_clusters is {}\".format(score,n_cluster)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 7\n",
    "\n",
    "*汇报你尝试的不同的聚类数对应的轮廓系数。在这些当中哪一个聚类的数目能够得到最佳的轮廓系数？* "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "聚类数为2时轮廓系数为0.426，聚类数为3时轮廓系数为0.397，聚类数为4时轮廓系数为0.332，聚类数为5时轮廓系数为0.351，但聚类数为2时得到最佳的轮廓系数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 聚类可视化\n",
    "一旦你选好了通过上面的评价函数得到的算法的最佳聚类数目，你就能够通过使用下面的代码块可视化来得到的结果。作为实验，你可以试着调整你的聚类算法的聚类的数量来看一下不同的可视化结果。但是你提供的最终的可视化图像必须和你选择的最优聚类数目一致。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe03d438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 从已有的实现中展示聚类的结果\n",
    "vs.cluster_results(reduced_data, preds, centers, pca_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 练习: 数据恢复\n",
    "上面的可视化图像中提供的每一个聚类都有一个中心点。这些中心（或者叫平均点）并不是数据中真实存在的点，但是是所有预测在这个簇中的数据点的*平均*。对于创建客户分类的问题，一个簇的中心对应于*那个分类的平均用户*。因为这个数据现在进行了降维并缩放到一定的范围，我们可以通过施加一个反向的转换恢复这个点所代表的用户的花费。\n",
    "\n",
    "在下面的代码单元中，你将实现下列的功能：\n",
    " - 使用`pca.inverse_transform`将`centers` 反向转换，并将结果存储在`log_centers`中。\n",
    " - 使用`np.log`的反函数`np.exp`反向转换`log_centers`并将结果存储到`true_centers`中。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fresh</th>\n",
       "      <th>Milk</th>\n",
       "      <th>Grocery</th>\n",
       "      <th>Frozen</th>\n",
       "      <th>Detergents_Paper</th>\n",
       "      <th>Delicatessen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Segment 0</th>\n",
       "      <td>8867.0</td>\n",
       "      <td>1897.0</td>\n",
       "      <td>2477.0</td>\n",
       "      <td>2088.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>681.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Segment 1</th>\n",
       "      <td>4005.0</td>\n",
       "      <td>7900.0</td>\n",
       "      <td>12104.0</td>\n",
       "      <td>952.0</td>\n",
       "      <td>4561.0</td>\n",
       "      <td>1036.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fresh    Milk  Grocery  Frozen  Detergents_Paper  Delicatessen\n",
       "Segment 0  8867.0  1897.0   2477.0  2088.0             294.0         681.0\n",
       "Segment 1  4005.0  7900.0  12104.0   952.0            4561.0        1036.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO：反向转换中心点\n",
    "log_centers = pca.inverse_transform(centers)\n",
    "\n",
    "# TODO：对中心点做指数转换\n",
    "true_centers = np.exp(log_centers)\n",
    "\n",
    "# 显示真实的中心点\n",
    "segments = ['Segment {}'.format(i) for i in range(0,len(centers))]\n",
    "true_centers = pd.DataFrame(np.round(true_centers), columns = data.keys())\n",
    "true_centers.index = segments\n",
    "display(true_centers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 8\n",
    "考虑上面的代表性数据点在每一个产品类型的花费总数，*你认为这些客户分类代表了哪类客户？为什么？*需要参考在项目最开始得到的统计值来给出理由。\n",
    "\n",
    "**提示：** 一个被分到`'Cluster X'`的客户最好被用 `'Segment X'`中的特征集来标识的企业类型表示。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "Segment 0的中心点Fresh、Frozen高于样本中位数，而Delicatessen属于1/4分位数与中位数之间，相比之下其他样本都低于1/4分位数，因此判断该分类属于餐饮/咖啡馆/酒店等类型的客户；\n",
    "\n",
    "Segment 1的中心点Milk、Grocery、Detergents_Paper均高于样本平均值，且高于3/4分位数，相比Fresh、Frozen、Delicatessen等商品均低于中位数，因此判断该分类属于零售商类型的客户。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 9\n",
    "*对于每一个样本点 * **问题 8**  *中的哪一个分类能够最好的表示它？你之前对样本的预测和现在的结果相符吗？*\n",
    "\n",
    "运行下面的代码单元以找到每一个样本点被预测到哪一个簇中去。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample point 0 predicted to be in Cluster 1\n",
      "Sample point 1 predicted to be in Cluster 0\n",
      "Sample point 2 predicted to be in Cluster 1\n"
     ]
    }
   ],
   "source": [
    "# 显示预测结果\n",
    "for i, pred in enumerate(sample_preds):\n",
    "    print \"Sample point\", i, \"predicted to be in Cluster\", pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答:**\n",
    "样本1/3被分类至Segment1，而样本2则分为Segment0，样本1之前预测为超市类型客户，而样本3预测为零售商类型，而本次聚类数为2，将超市类型与零售商类型归为一类。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "\n",
    "在最后一部分中，你要学习如何使用已经被分类的数据。首先，你要考虑不同组的客户**客户分类**，针对不同的派送策略受到的影响会有什么不同。其次，你要考虑到，每一个客户都被打上了标签（客户属于哪一个分类）可以给客户数据提供一个多一个特征。最后，你会把客户分类与一个数据中的隐藏变量做比较，看一下这个分类是否辨识了特定的关系。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### 问题 10\n",
    "在对他们的服务或者是产品做细微的改变的时候，公司经常会使用[A/B tests](https://en.wikipedia.org/wiki/A/B_testing)以确定这些改变会对客户产生积极作用还是消极作用。这个批发商希望考虑将他的派送服务从每周5天变为每周3天，但是他只会对他客户当中对此有积极反馈的客户采用。*这个批发商应该如何利用客户分类来知道哪些客户对它的这个派送策略的改变有积极的反馈，如果有的话？你需要给出在这个情形下A/B 测试具体的实现方法，以及最终得出结论的依据是什么？*  \n",
    "**提示：** 我们能假设这个改变对所有的客户影响都一致吗？我们怎样才能够确定它对于哪个类型的客户影响最大？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "不同类型的客户对于派送的需求程度是不同的，可以通过客户的营业性质、日常派送需求量等对客户进行分类。然后从分类后的客户中，不同分类的客户各抽取一定数量执行新的派送服务。根据新方案执行后，订单的变化情况及客户反馈，可以反馈出不同客户对新派送业务的反馈状况。再确定最终执行范围。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 11\n",
    "通过聚类技术，我们能够将原有的没有标记的数据集中的附加结构分析出来。因为每一个客户都有一个最佳的划分（取决于你选择使用的聚类算法），我们可以把*用户分类*作为数据的一个[**工程特征**](https://en.wikipedia.org/wiki/Feature_learning#Unsupervised_feature_learning)。假设批发商最近迎来十位新顾客，并且他已经为每位顾客每个产品类别年度采购额进行了预估。进行了这些估算之后，批发商该如何运用它的预估和**非监督学习的结果**来对这十个新的客户进行更好的预测？\n",
    "\n",
    "**提示：**在下面的代码单元中，我们提供了一个已经做好聚类的数据（聚类结果为数据中的cluster属性），我们将在这个数据集上做一个小实验。尝试运行下面的代码看看我们尝试预测‘Region’的时候，如果存在聚类特征'cluster'与不存在相比对最终的得分会有什么影响？这对你有什么启发？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "使用cluster特征的得分 0.6666666666666666\n",
      "不使用cluster特征的得分 0.6436781609195402\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 读取包含聚类结果的数据\n",
    "cluster_data = pd.read_csv(\"cluster.csv\")\n",
    "y = cluster_data['Region']\n",
    "X = cluster_data.drop(['Region'], axis = 1)\n",
    "\n",
    "# 划分训练集测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=24)\n",
    "\n",
    "clf = RandomForestClassifier(random_state=24)\n",
    "clf.fit(X_train, y_train)\n",
    "print \"使用cluster特征的得分\", clf.score(X_test, y_test)\n",
    "\n",
    "# 移除cluster特征\n",
    "X_train = X_train.copy()\n",
    "X_train.drop(['cluster'], axis=1, inplace=True)\n",
    "X_test = X_test.copy()\n",
    "X_test.drop(['cluster'], axis=1, inplace=True)\n",
    "clf.fit(X_train, y_train)\n",
    "print \"不使用cluster特征的得分\", clf.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "从上面结果可以看出存在聚类特征'cluster'的分类模型预测效果高于不存在聚类特征的模型；因此在构建分类模型前，可以尝试先对特征进行聚类，并将聚类标签作为特征值，以提高分类的精确度。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可视化内在的分布\n",
    "\n",
    "在这个项目的开始，我们讨论了从数据集中移除`'Channel'`和`'Region'`特征，这样在分析过程中我们就会着重分析用户产品类别。通过重新引入`Channel`这个特征到数据集中，并施加和原来数据集同样的PCA变换的时候我们将能够发现数据集产生一个有趣的结构。\n",
    "\n",
    "运行下面的代码单元以查看哪一个数据点在降维的空间中被标记为`'HoReCa'` (旅馆/餐馆/咖啡厅)或者`'Retail'`。另外，你将发现样本点在图中被圈了出来，用以显示他们的标签。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe898eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据‘Channel‘数据显示聚类的结果\n",
    "vs.channel_results(reduced_data, outliers, pca_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 12\n",
    "\n",
    "*你选择的聚类算法和聚类点的数目，与内在的旅馆/餐馆/咖啡店和零售商的分布相比，有足够好吗？根据这个分布有没有哪个簇能够刚好划分成'零售商'或者是'旅馆/饭店/咖啡馆'？你觉得这个分类和前面你对于用户分类的定义是一致的吗？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "使用K-means算法时，当选择聚类点为2的时候，轮廓系数最佳，且刚好可以按照内在的“零售商/超市”或“旅馆/饭店/咖啡馆”进行划分。前面对用户分类的定义，将超市类型用户与零售商分成了不同的类型了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **注意**: 当你写完了所有的代码，并且回答了所有的问题。你就可以把你的 iPython Notebook 导出成 HTML 文件。你可以在菜单栏，这样导出**File -> Download as -> HTML (.html)**把这个 HTML 和这个 iPython notebook 一起做为你的作业提交。  "
   ]
  }
 ],
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  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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